Research

Silicon Orchard Research Lab

Silicon Orchard Research Lab conducts cutting edge research in the domain of computer and statistical science. We specialize in research on cloud computing, Secure Communications, Deep learning, Natural Language processing.

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Ongoing Research
Research in BlockChain technologies
Research in BlockChain technologies

Silicon Orchard research team commenced by Abdur Rahman (Msc) exhibits an effective way to design the secure architecture of blockchain technology.  The early stage of research results are published and presented in Sydney Australia, 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) as a paper “A Hybrid POW-POS Implementation Against 51 percent Attack in Cryptocurrency System”

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Project Repository in github
Research in Natural Language Processing
Research in Natural Language Processing

Silicon Orchard research team commenced by Nafiz Sadman formed an efficient and sophisticated algorithm to detect fraudulent reviews. The works have been accepted in ACM publication proceedings and conference in The 6th International Conference on E-Business and Applications-ICEBA 2020,  as a paper name “Detect review manipulation by leveraging reviewer historical stylometrics in Amazon, Yelp, Facebook and Google reviews”

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Project Repository in github
Research in BigData
Research in BigData

Silicon Orchard research team managed by Moin U Hasan devising effective ways to improve file visualization methods of big data file format. This research project will provide a cloud-based service that developers can use for their big data-based applications.

Project Repository in github
Research in Secure Communication
Research in Secure Communication

Silicon Orchard Research team headed by Ariful Haque developed the secure messaging system using location-based wifi connectivity. One of the outputs of this research resulted in an effective communication app on a smartphone that can use without an internet connection. Staff can push to talk for instant, radio-style, communicate smoothly and privately with others. It will be better to work along with Bluetooth headset and with noise cancellation.

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Project Repository in github